DocumentCode :
444892
Title :
Direct extrapolation of a causal signal using low-frequency and early-time data based on matrix equations
Author :
Yuan, M. ; van den Berg, P.M. ; Sarkar, T.K.
Author_Institution :
Syracuse Univ., NY, USA
Volume :
2A
fYear :
2005
fDate :
3-8 July 2005
Firstpage :
615
Abstract :
We provide direct methods to extrapolate the early-time and the low-frequency response of a causal signal simultaneously in the time and frequency domains. We show that, in the discrete domain, the extrapolation from integral equations introduced by P.M. van den Berg et al. (see APS-URSI, 2005) is equivalent to linear matrix equations. We demonstrate the feasibility of the using the conjugate gradient method and fast Fourier transform (CGM-FFT) in the discrete version. Furthermore, we provide a more efficient method, the singular value decomposition (SVD). Finally, a numerical example of an electrically large structure is presented and a comparison between the present and the previous methods is demonstrated.
Keywords :
conjugate gradient methods; extrapolation; fast Fourier transforms; signal processing; singular value decomposition; time-frequency analysis; FFT; SVD; causal signal; conjugate gradient method; direct extrapolation; discrete domain; early-time data; electrically large structure; electromagnetic responses; fast Fourier transform; integral equations; linear matrix equations; low-frequency data; singular value decomposition; Discrete Fourier transforms; Extrapolation; Fast Fourier transforms; Frequency domain analysis; Gradient methods; Integral equations; Iterative methods; Least squares methods; Matrix decomposition; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-8883-6
Type :
conf
DOI :
10.1109/APS.2005.1551886
Filename :
1551886
Link To Document :
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